这是http://bl.ocks.org/d3noob/e99a762017060ce81c76中我的“多线图4:切换”版本,但我遇到了一些问题请帮忙。
首先,初始图表是正确的,
我认为缩放功能是不正确的,当我使用“d.value”时,浏览器会说“d。未定义”
以下是代码:
// https://github.com/mbostock/d3/wiki/Ordinal-Scales#category10
var colors = d3.scale.category10();
var margin = {top: 20, right: 30, bottom: 80, left: 85},
width = 900 - margin.left - margin.right,
height = 570 - margin.top - margin.bottom;
// Kind of defining the length and the directions of the axis
var x = d3.scale.linear()
.range([0, width]);
// Since the origin is on the left corner, the y axis of the svg system points down
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.tickSize(-height)
.tickPadding(10) // Distance between axis and tick note
.tickSubdivide(true)
.tickFormat(d3.format(".0"))
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.tickPadding(10)
.tickSize(-width)
.tickSubdivide(true)
.tickFormat(d3.format(".3e")) // https://github.com/mbostock/d3/wiki/Formatting#d3_format
.orient("left");
var valueline = d3.svg.line()
.x(function(d) { return x(d.samples); })
.y(function(d) { return y(d.measurements); });
var zoom = d3.behavior.zoom()
.x(x)
.y(y)
.scaleExtent([0.1, 50])
.on("zoom", zoomed);
// Adding svg canvas
var svg = d3.select("body").append("svg")
.call(zoom)
.attr("width", width + margin.left + margin.right )
.attr("height", height + margin.top + margin.bottom )
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// Get the data
data=[{"SAMPLES":"1","MEASUREMENTS":"2","ID":"ch1"},{"SAMPLES":"2","MEASUREMENTS":"3","ID":"ch1"},{"SAMPLES":"1","MEASUREMENTS":"4","ID":"ch2"},{"SAMPLES":"3","MEASUREMENTS":"5","ID":"ch1"},{"SAMPLES":"2","MEASUREMENTS":"6","ID":"ch2"}];
data.forEach(function(d) {
d.samples = +d.SAMPLES;
d.measurements = +d.MEASUREMENTS;
});
console.log(data);
// Scale the range of the data
x.domain(d3.extent(data, function(d) { return d.samples; }));
y.domain([0, d3.max(data, function(d) { return d.measurements; })]);
// Creating X axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Drawing notations
svg.append("g")
.attr("class", "x axis")
.append("text")
.attr("class", "axis-label")
.attr("x", (width - margin.left)/2)
.attr("y", height + margin.top + 45)
.text('Samples');
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("g")
.attr("class", "y axis")
.append("text")
.attr("class", "axis-label")
.attr("transform", "rotate(-90)")
.attr("y", (-margin.left) + 10)
.attr("x", -height/2)
.text('Volts');
svg.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
// Nest the entries by channel id (ID)
var dataNest = d3.nest()
.key(function(d) {return d.ID;})
.entries(data);
// set the colour scale
var color = d3.scale.category10();
// Auto spacing for the legend
legendSpace = width/dataNest.length;
// Loop through each IDs / key to draw the lines and the legend labels
dataNest.forEach(function(d,i) {
svg.append("path")
.attr("class", "line")
.attr("clip-path", "url(#clip)")
.style("stroke", function() { // Add the colours dynamically
return d.color = color(d.key);
})
.attr("id", 'tag'+d.key.replace(/\s+/g, '')) // assign ID
.attr("d", valueline(d.values))
.style("stroke", function(){return d.color = color(d.key);});
// Adding legends
svg.append("text")
// Setting coordinates and classes
.attr("x", (legendSpace/2)+i*legendSpace)
.attr("y", height + (margin.bottom/2)+ 5)
.attr("class", "legend")
// Setting colors
.style("fill",function(){
return d.color = color(d.key);
})
// Setting 'click' events
.on("click", function(){
// Determine if current line is visible
var active = d.active ? false : true,
newOpacity = active ? 0 : 1;
// Hide or show the elements based on the ID
d3.select("#tag"+d.key.replace(/\s+/g, ''))
.transition().duration(600)
.style("opacity", newOpacity);
// Update whether or not the elements are active
d.active = active;
})
.text(function() {
if (d.key == '28-00043b6ef8ff') {return "Inlet";}
if (d.key == '28-00043e9049ff') {return "Ambient";}
if (d.key == '28-00043e8defff') {return "Outlet";}
else {return d.key;}
})
})
// Zoom specific updates
function zoomed() {
svg.select(".x.axis")
.transition().duration(500)
.call(xAxis);
svg.select(".y.axis")
.transition().duration(500)
.call(yAxis);
svg.selectAll('path.line')
.transition().duration(500)
.attr('d', valueline(data));
}
body {
font: 12px Arial;
margin: 50px;
}
.axis path {
fill: none;
stroke: #bbb;
stroke-width: 2;
shape-rendering: crispEdges;
}
.axis text {
fill: #555;
}
.axis line {
fill: none;
stroke-width: 1;
stroke: #e7e7e7;
shape-rendering: crispEdges;
}
.axis .axis-label {
font-size: 14px;
}
path {
stroke: steelblue;
stroke-width: 2;
fill: none;
}
.legend {
font-size: 16px;
font-weight: bold;
text-anchor: middle;
}
答案 0 :(得分:2)
您需要将路径绑定到数据,这样您就可以在缩放时使用正确的路径数据调用valueLine
。
添加新路径时,请使用d3 data
和enter
函数:
// choose all .line objects and append a path which is not already binded
// by comparing its data to the current key
svg.selectAll(".line").data([d], function (d) {
return d.key;
})
.enter().append("path")
.attr("class", "line")
然后在缩放时,通过使用路径的正确值调用d
来更改valueLine
属性路径:
svg.selectAll('path.line')
.transition().duration(500)
.attr('d', function(d) {
return valueline(d.values)
});